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MedicareGraph™ Public Trust Protocol

At MedicareGraph™, trust isn’t a slogan. It’s a standard.

Our work is guided by principles rooted in Google’s YMYL (Your Money or Your Life) and E-E-A-T (Experience, Expertise, Authoritativeness, and Trustworthiness) frameworks — the same principles intended to protect users seeking healthcare information online.

We commit to these standards:

1. Accuracy from Provenance

Every Medicare figure, benchmark, and plan detail we publish comes directly from validated CMS datasets or official carrier sources — and nowhere else.

No speculation. No scraping. No hallucinated AI summaries.

2. Freshness by Policy

CMS cost benchmarks (like Part B premiums, Part D deductibles, and TrOOP thresholds) are automatically updated every year.
Medicare plan data is updated in line with the active plan contract year.

If a number changes at CMS, it changes here — automatically.

3. Structured Transparency

We don’t just display data — we structure it.

All plan and benchmark information is published with transparent JSON-LD markup (Dataset, HealthInsurancePlan, Organization, and Person where applicable) to make provenance clear to both users and machines.

4. Publisher Accountability

MedicareGraph is operated by real people with real names.

Ownership, sourcing practices, and update policies are openly disclosed — no hidden operators, no shell companies.
We stand behind what we publish.

5. User-First Publishing

Our publishing standards prioritize accuracy, transparency, and user trust over lead generation or commercial capture.

We do not lock data behind forms, gate content behind marketing funnels, or confuse users about where information comes from.
Information here is educational first. Always.

Closing Statement:

We aren’t waiting to be regulated into trust.

We’re leading with it — by choice.

We invite any publisher, researcher, or healthcare advocate to follow these standards and raise the bar for how Medicare information is delivered to the public.

MedicareGraph™ Public Trust Protocol methods are protected by U.S. Patent Pending No. 63/796,593 (Filed April 29, 2025).

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Public Trust Protocol

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